Looking for a data-driven analytics role where I can leverage my experience in business analytics, fintech, credit risk and lending to solve complex business problems, drive data-backed decisions and work with cross-functional teams in a high-growth environment.

sneha tripathi
@snehatripathi05
Business & Data Analytics Professional | Zype | Ex-HighRadius | Fintech | Credit Risk | Data Scientist | 3.5+ Years
What I'm looking for
At Zype, I optimize credit underwriting, portfolio risk, and collections strategies across an approximately ₹800 Cr AUM lending portfolio. My analyses have doubled average repeat ticket size to ₹50K, reduced bad rate from roughly 1.0% to 0.6%, and helped grow repeat business.
I also built and monitored an XGBoost post-closure credit-risk model using bureau, repayment, and loan-behaviour features, increasing customers eligible for limit expansion by around 40%. I lead risk reviews and portfolio governance for senior leadership, audit, and investor reporting.
Previously at HighRadius, I supported B2B SaaS strategy and operations through expansion models, KPI dashboards, workflow automation, and machine-learning payment-date prediction. I enjoy translating SQL, Python, and business data into practical decisions and measurable operational improvements.
Experience
Work history, roles, and key accomplishments
Analytics Scientist
Zype
Oct 2025 - Present (11 months)
Optimized repeat credit underwriting and recalibrated suspension policies, reducing bad rate and unlocking repeat business. Built XGBoost models and streamlined collections, leading to significant improvements in key metrics.
Business Analyst in Strategy & Operations at HighRadius, driving analytics-led strategy, performance reporting & process improvement. Built an expansion model identifying 10 North American cities, developed leadership dashboards across 5 departments/900+ consultants, and automated workflows using Apps Script & FinancialForce, improving documentation to 90%+ & saving 10–12 hours/week.
Analyst Intern at HighRadius, developing an AI-based Machine Learning model to predict B2B invoice payment dates using SQL for data extraction & preprocessing. Analyzed large datasets across 40–50 EMEA clients to identify bottlenecks and evaluated Collections, Credit, Cash App & Deductions Management products.
Education
Degrees, certifications, and relevant coursework
KIIT University
Bachelor of Technology, Computer Science Engineering
2018 - 2022
Grade: 8.6/10
Pursued a Bachelor of Technology in Computer Science Engineering, achieving a CGPA of 8.6/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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